Distributed Principal Component Analysis for Wireless Sensor Networks

The Principal Component Analysis (PCA) is a data dimensionality reduction tech-nique well-suited for processing data from sensor networks. It can be applied to tasks like compression, event detection, and event recognition. This technique is based on a linear trans-form where the sensor measurements...

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Detalles Bibliográficos
Autores principales: Le Borgne, Yann-Aël, Raybaud, Sylvain, Bontempi, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705474/
https://www.ncbi.nlm.nih.gov/pubmed/27873788
http://dx.doi.org/10.3390/s8084821

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705474/
https://www.ncbi.nlm.nih.gov/pubmed/27873788
http://dx.doi.org/10.3390/s8084821

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